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Almost everything we do creates data, and knowing how to investigate and communicate it is key. Our Curriculum Developers show us how to summarize data and run hypothesis tests following our Skill Path: Master Statistics with Python.

Live: Master Stats with Python

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will discuss experimental design and sample size determination in the context of an A/B test in the final session of our live series on stats. Check out the full course here: https://j.mp/3xkPV5x

More details:
In this session, we'll talk about experimental design and sample size determination in the context of an A/B test. A/B testing is often used by marketers to compare two versions of a website or product to determine if one is better for business.

Check out the code used in this session here: https://j.mp/3tMGKso

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Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/3nmwRiM
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Codecademy Live Stats #8: A/B Testing: Planning and Implementing an A/B test

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will focus on hypothesis tests that can be used to evaluate an association between two variables. Check out the full course here: https://j.mp/3eqhh1r

More details:
In this session, we'll turn our attention to hypothesis tests that can be used to evaluate an association between two variables among a population that we can't observe. If we have time, we'll even simulate our own two-sample t-test.

Check out the code used in this session here: https://j.mp/3tMGKso

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Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/2R0XZYI
Check out our full course catalog: https://j.mp/3vfskBm

Codecademy Live Stats #7: Hypothesis Testing for an Association

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will discuss problems that can arise when hypothesis testing is misused. Check out the full course here: https://j.mp/3vpTu95

More details:
In this session, we'll discuss some of the problems that can arise when hypothesis testing is misused. We'll cover error types and investigate some of the problems that can arise when a single study involves multiple tests.

Check out the code used in this session here: https://j.mp/3tMGKso


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Join the millions learning to code with Codecademy.
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Codecademy Live Stats #6: Hypothesis Testing: Significance Thresholds and Multiple Hypothesis Tests

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will implement a hypothesis test by writing their own simulation-based function in Python. Check out the full course here: https://j.mp/3tKzmOr

More details:
In this session, we'll implement our first hypothesis test, but we'll do it by writing our own simulation-based function in Python. The code might get a little tricky here, but the lessons learned will be invaluable for any statistician, data scientist, or data analyst.

Link to code used in this session: https://j.mp/3tMGKso


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Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/3xo8HZZ
Check out our full course catalog: https://j.mp/2QpdyJR

Codecademy Live Stats #5: Hypothesis Testing: Simulating a Binomial Test

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will introduce inferential statistics and hypothesis testing by exploring the central limit theorem (CLT). Check out the full course here: https://j.mp/3atxPoc

More details:
In this session, we'll introduce inferential statistics and hypothesis testing by learning about the central limit theorem (CLT). The CLT is the mathematical theory behind a number of commonly-used hypothesis tests, and we will demonstrate it using simulation (no math-y formulas)!

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Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/3gEgwVm
Check out our full course catalog: https://j.mp/2Pu9fwk

Codecademy Live Stats #4: Introduction to Hypothesis Testing: The Central Limit Theorem

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will cover ways to assess a relationship between two variables, using summary statistics and visualizations. Check out the full course here: https://j.mp/3axEhKK

More details:
In this session, we'll cover ways of assessing a relationship between two variables, using both summary statistics and data visualizations. For example, how could we use clinical trial data to get a sense of whether a vaccine appears to work?


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Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/3tTBGCx
Check out our full course catalog: https://j.mp/3dSnF2z

Codecademy Live Stats #3: Associations Between Variables

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will show us how to investigate data using summary statistics and data visualizations. Check out the full course here: https://j.mp/32Ei6ON

More details:
In this session, we'll continue to investigate our data with summary statistics and some basic data visualizations, using the Python libraries NumPy, pandas, matplotlib, and Seaborn. We'll also discuss how to choose an appropriate summary statistic to answer a particular question.

You can download our code for this session here: https://j.mp/3tMGKso


- - - - - 
Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/3xp21e6
Check out our full course catalog: https://j.mp/3eMDasj

Codecademy Live Stats #2: Summary Statistics and Visualizations Part II

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will walk us through our Master Statistics with Python Skill Path. Check out the full course here: https://j.mp/3dHq6VH

More details:
In this session, we'll walk through the process of loading a tabular dataset into Python, inspecting the data, and taking a first look at some of the variables. We'll also cover basic Python and pandas syntax and discuss some of the different kinds of data you might encounter.

The code used in this video can be found here: https://j.mp/3tMGKso

Join the millions learning to code with Codecademy.
Learn to code: https://j.mp/2QWj6eA
Check out our full course catalog: https://j.mp/2R0D345

Codecademy Live Stats #1: Summary Statistics and Visualizations Part I

Learn how to build a Web Dev Portfolio with Codecademy.

Career: Building a Web Dev Portfolio

Preparing for a career in a technical field? Check out these interview tips — including advice on building a portfolio and showcasing your skills.

Career: Interview Prep

From Product Manager to Data Scientist, we take a look at different careers in tech and what these roles entail.

Career: Jobs in Coding

We asked recruiters in our community to share advice for people navigating the job-hunting process — from tips for optimizing your resume to advice on acing the technical interview.

Career: Recruiter Advice

A playlist of Quick Tip videos for Codecademy Chapter Leaders.

Community: Chapter Leader Quick Tips

Join our Chapters for live conversations on various topics — including NFT art and how to break into a technical field.

Community: Chapters

We think that connecting with other learners is the best way to learn. Explore some of our past community-led events here!

Community: Events

Hackathons are a great way to test your knowledge and flex your skills. Check out our hackathon presentations here.

Community: Hackathon

See how people around the world are reshaping their lives by learning to code.

Learner Stories

No matter what your coding goals are, the best place to start is by building a strong foundation. In this live series, we learn Computer Science fundamentals that are similar to content you’d see in a first-semester CS101 college course.

Learning to Code: CS101

There are a lot of terms and acronyms in the world of programming. Explore the definitions of common terms used in popular languages and frameworks.

Learning to Code: Definitions

HTML and CSS lie at the heart of web development. We explore some of their uses with these tutorials and explainers.

Learning to Code: HTML & CSS

TypeScript builds on your JavaScript foundation so you can develop higher-quality, less error-prone code faster. Learn more about this in-demand language as Codecademy Curriculum Developers guide us through an introduction.

Learning to Code: Intro to TypeScript

JavaScript has many functionalities, from web development to gaming applications. We break down the programming language and explain how it works with these tutorials.

Learning to Code: JavaScript

Since its release in 1994, Python stands tall as many developers’ favorite programming language. Explore its many capabilities with these livestreams and tutorials.

Learning to Code: Python

The R language is a popular tool for Data Analysts. Learn more about this free, open-source programming language with these livestreams.

Learning to Code: R

We show you how to get started on your coding projects — from setting up developer tools to pushing your code to GitHub.

Learning to Code: Setting Up

Just starting out on your coding journey? We’ve gathered tips for helping you start — including advice on how to choose your first programming language and how to remember everything you’re learning.

Learning to Code: Tips

You know all of those app ideas you’ve been wanting to create? Swift and SwiftUI can help you bring them to life for iOS. Learn how to build your very own iPhone app from start to finish in this live series.

Learning to Code: iOS Development

Join us for an assortment of livestreams where we cover topics such as interview prep, introductions to programming languages, project walkthroughs  — and so much more!

Live: All Livestreams

Augmented reality is alive and well. Learn how to make your first AR experience using the popular web framework A-Frame — with guidance from our Curriculum Developers.

Live: Augmented Reality

Explore the world of creative coding with p5.js, an open-source JavaScript library. We'll create drawings, animations, and video sculptures in this beginner-friendly series.

Live: Creative Coding with p5.js

Emojicode is a real programming language with a playful emoji syntax in place of traditional programming keywords. Learning it can bring some smiles and fun to your programming journey. Join us for an introduction to this silly language.

Live: Intro to Emojicode

Experience a full day of learning to code with interactive instruction and guided discussions by the Curriculum team at Codecademy.

Live: Learn From Home Day

Linear regression is a fundamental machine learning algorithm used for predictive modeling and data analysis. Learn more about it as Codecademy Curriculum Developers guide you through our course: Linear Regression in Python

Live: Linear Regression with Python

Our Curriculum Developers will lead you on a journey as you go from complete beginner to proficiency with data visualization, using Python. This is a weekly series that will lead you through our entire Visualize Data with Python Skill Path.

Live: Visualize Data with Python

Join the millions learning to code with Codecademy.

Live: Master Stats with Python

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